Data Analyst with Python
2 tygodni temu
Job Description
Join our Corporate Treasury team at Goldman Sachs, where we focus on managing liquidity, funding, and balance sheet optimization to enhance returns. We are looking for a talented individual to join our Corporate Treasury Engineering team, working on data governance and uplift projects. If you are passionate about developing quantitative techniques and technology solutions, this role is for you
Responsibilities:
- Understand the data consumed within Corporate Treasury
- Identify data gaps, data uplift, and consolidation opportunities
- Collaborate with data consumers and providers to meet data requirements
- Create logical data models for financial assets
- Implement data quality controls and governance requirements
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, or related field
- Strong programming skills in Python and/or a compiled language (e.g., C, C++, Java)
- Proficiency in SQL
- 1-3 years of relevant experience
- Experience optimizing large SQL statements
- Excellent communication and teamwork skills
- Familiarity with financial markets and assets preferred
- Experience with tools for troubleshooting and optimizing SQL queries a plus
About Goldman Sachs:
Goldman Sachs is a global investment banking and financial services firm founded in 1869. Our commitment to diversity, inclusion, and professional growth sets us apart. We offer a range of benefits, development opportunities, and support programs to help our employees thrive. Join us and be part of a team dedicated to success and innovation.
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